SIA: a scalable interoperable annotation server for biomedical named entities

Abstract Recent years showed a strong increase in biomedical sciences and an inherent increase in publication volume. Extraction of specific information from these sources requires highly sophisticated text mining and information extraction tools. However, the integration of freely available tools i...

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Bibliographic Details
Main Authors: Johannes Kirschnick, Philippe Thomas, Roland Roller, Leonhard Hennig
Format: Article
Language:English
Published: BMC 2018-12-01
Series:Journal of Cheminformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13321-018-0319-2